Lcross | R Documentation |
Calculates an estimate of the cross-type L-function for a multitype point pattern.
Lcross(X, i, j, ..., from, to, correction)
X |
The observed point pattern, from which an estimate of the cross-type L function Lij(r) will be computed. It must be a multitype point pattern (a marked point pattern whose marks are a factor). See under Details. |
i |
The type (mark value)
of the points in |
j |
The type (mark value)
of the points in |
correction,... |
Arguments passed to |
from,to |
An alternative way to specify |
The cross-type L-function is a transformation of the cross-type K-function,
Lij(r) = sqrt(Kij(r)/pi)
where Kij(r) is the cross-type K-function
from type i
to type j
.
See Kcross
for information
about the cross-type K-function.
The command Lcross
first calls
Kcross
to compute the estimate of the cross-type K-function,
and then applies the square root transformation.
For a marked point pattern in which the points of type i
are independent of the points of type j
,
the theoretical value of the L-function is
Lij(r) = r.
The square root also has the effect of stabilising
the variance of the estimator, so that Lij is more appropriate
for use in simulation envelopes and hypothesis tests.
An object of class "fv"
, see fv.object
,
which can be plotted directly using plot.fv
.
Essentially a data frame containing columns
r |
the vector of values of the argument r at which the function Lij has been estimated |
theo |
the theoretical value Lij(r) = r for a stationary Poisson process |
together with columns named
"border"
, "bord.modif"
,
"iso"
and/or "trans"
,
according to the selected edge corrections. These columns contain
estimates of the function Lij obtained by the edge corrections
named.
and \rolf
Kcross
,
Ldot
,
Lest
data(amacrine) L <- Lcross(amacrine, "off", "on") plot(L)
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.